design of hybrid network anomalies detection system (h-nads) using ip gray space analysis
Clicks: 170
ID: 210814
2009
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Emerging Content
4.5
/100
15 views
15 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
In Network Security, there is a major issue to secure the public or private network from abnormal users. It is because each network is made up of users, services and computers with a specific behavior that is also called as heterogeneous system. To detect abnormal users, anomaly detection system (ADS) is used. In this paper, we present a novel and hybrid Anomaly Detection System with the uses of IP gray space analysis and dominant scanning port identification heuristics used to detect various anomalous users with their potential behaviors. This methodology is the combination of both statistical and rule based anomaly detection which detects five types of anomalies with their three types of potential behaviors and generates respective alarm messages to GUI.
Abstract Quality Issue:
This abstract appears to be incomplete or contains metadata (121 words).
Try re-searching for a better abstract.
| Reference Key |
jain2009informaticdesign
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Yogendra Kumar JAIN;Sandip S. PATIL |
| Journal | fuel |
| Year | 2009 |
| DOI |
DOI not found
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.